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3D virtual pathohistology of lung tissue from Covid-19 patients based on phase contrast X-ray tomography
Journal article

3D virtual pathohistology of lung tissue from Covid-19 patients based on phase contrast X-ray tomography

  • Eckermann, Marina Cluster of Excellence 'Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells' (MBExC), University of Göttingen, Göttingen, Germany
  • Frohn, Jasper Institut für Röntgenphysik, Georg-August-Universität, Göttingen, Germany
  • Reichardt, Marius Institut für Röntgenphysik, Georg-August-Universität, Göttingen, Germany
  • Osterhoff, Markus Institut für Röntgenphysik, Georg-August-Universität, Göttingen, Germany
  • Sprung, Michael Deutsches Elektronen-Synchrotron (DESY), Hamburg, Germany
  • Westermeier, Fabian Deutsches Elektronen-Synchrotron (DESY), Hamburg, Germany
  • Tzankov, Alexandar Institut für Medizinische Genetik und Pathologie, Universitätsspital Basel, Basel, Switzerland
  • Werlein, Christopher Deutsches Zentrum für Lungenforschung (DZL), Hannover (BREATH), Germany
  • Kühnel, Mark Deutsches Zentrum für Lungenforschung (DZL), Hannover (BREATH), Germany
  • Jonigk, Danny Deutsches Zentrum für Lungenforschung (DZL), Hannover (BREATH), Germany
  • Salditt, Tim ORCID Cluster of Excellence 'Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells' (MBExC), University of Göttingen, Göttingen, Germany
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  • 2020-8-20
Published in:
  • eLife. - eLife Sciences Publications, Ltd. - 2020, vol. 9
General Biochemistry, Genetics and Molecular Biology
General Immunology and Microbiology
General Neuroscience
General Medicine
English We present a three-dimensional (3D) approach for virtual histology and histopathology based on multi-scale phase contrast x-ray tomography, and use this to investigate the parenchymal architecture of unstained lung tissue from patients who succumbed to Covid-19. Based on this first proof-of-concept study, we propose multi-scale phase contrast x-ray tomography as a tool to unravel the pathophysiology of Covid-19, extending conventional histology by a third dimension and allowing for full quantification of tissue remodeling. By combining parallel and cone beam geometry, autopsy samples with a maximum cross section of 8 mm are scanned and reconstructed at a resolution and image quality, which allows for the segmentation of individual cells. Using the zoom capability of the cone beam geometry, regions-of-interest are reconstructed with a minimum voxel size of 167 nm. We exemplify the capability of this approach by 3D visualization of diffuse alveolar damage (DAD) with its prominent hyaline membrane formation, by mapping the 3D distribution and density of lymphocytes infiltrating the tissue, and by providing histograms of characteristic distances from tissue interior to the closest air compartment.
Language
  • English
Open access status
gold
Identifiers
Persistent URL
https://sonar.ch/global/documents/11260
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